# Multilingual speech synthesis

OuteTTS-1.0-0.6B GGUF is a multilingual text-to-speech model that supports speech synthesis and cloning, providing efficient and accurate speech generation capabilities.

OuteTTS 1.0 is a multilingual text-to-speech model based on the Llama architecture, supporting 20 languages with high-quality speech synthesis and voice cloning capabilities.

OuteTTS 1.0 is a 1B-parameter text-to-speech model supporting multilingual speech synthesis and voice cloning

Voila is a large family of speech-language foundation models designed to enhance human-computer interaction, supporting real-time, low-latency voice interaction and multilingual processing.

Voila is a large family of speech-language foundation models designed to enhance human-computer interaction, supporting real-time, low-latency voice interaction and multilingual processing.

Voila is a brand-new large-scale speech-language foundation model series designed to elevate human-computer interaction to unprecedented levels.

Voila is a brand-new family of large-scale speech-language foundation models designed to elevate human-computer interaction to new heights.

Voila is a large-scale voice-language foundation model series designed to enhance human-computer interaction, supporting multiple audio tasks and languages.

ⓍTTS is a voice generation model that can clone a voice with just 6 seconds of audio and apply it to different languages, supporting Argentinian-accented Spanish.

ⓍTTS is a speech generation model that can clone voices with just 6 seconds of audio and apply them to different languages. No need for hours of extensive training data.

Latvian text-to-speech model developed by Meta, based on VITS architecture, supporting high-quality speech synthesis

Uzbek (Cyrillic script) text-to-speech model developed by Meta, based on VITS architecture, supporting high-quality speech synthesis

Urdu text-to-speech model developed by Meta, supports Devanagari script transliterated text input to generate high-quality speech output

A Haitian Creole text-to-speech model fine-tuned based on the SpeechT5 architecture, trained using Carnegie Mellon University's Haitian language dataset

Bark is a Transformer-based text-to-audio model created by Suno, capable of generating highly realistic multilingual speech, music, background noise, and simple sound effects.

TorToiSe is a text-to-speech program focused on multilingual capabilities and highly realistic prosody and intonation.